The Complete MCP Servers Directory

What Is MCP?

Model Context Protocol (MCP) is an open standard developed by Anthropic that enables Claude and other AI models to safely access external tools and data sources. Instead of directly integrating every service into Claude, MCP provides a standardized way to connect to your databases, APIs, productivity tools, and cloud services.

Think of MCP servers as adapters that translate between Claude's language and your specific tools. An MCP server runs locally or remotely, exposes specific resources and tools, and handles the communication protocol with Claude. This architecture provides several key advantages:

• Security — Precise control over what Claude can access and modify, covered in depth in our MCP security guide
• Standardization — Consistent protocol across all integrations
• Flexibility — Build custom servers for proprietary systems
• Composability — Chain multiple servers for complex workflows

Why MCP Matters for AI Automation

As AI models become more capable, the ability to connect them to real-world data and systems becomes critical. MCP addresses a fundamental challenge: how to give Claude access to tools and data without compromising security or creating brittle integrations. See how MCP compares to traditional API integrations for a deeper look at the tradeoffs.

Organizations using MCP servers report significant efficiency gains. Engineering teams integrate Claude with their codebases via Git and Filesystem servers. Product teams connect Claude to Notion and Jira for automated documentation and issue management. GTM teams use Claude with web search and content management servers to automate content creation and publishing.

By August 2026, MCP has become the de facto standard for AI tool integration. The ecosystem maturity means that whether you need to query a database, call an API, or manage cloud infrastructure, there's likely an MCP server ready to use.

Official Anthropic Reference Servers

Anthropic maintains and publishes reference implementations of MCP servers. These servers demonstrate best practices and handle the most common integration needs:

Complete MCP Servers Directory

Explore the full directory of 100+ MCP servers below. Filter by category, search by name, and visit each server's GitHub repository to learn more, review documentation, and access installation instructions.

How to Choose the Right MCP Server

With 100+ servers available, selecting the right ones for your workflow is important. Consider these factors:

Building Custom MCP Servers

If you need Claude to interact with an internal system or proprietary tool, building a custom MCP server is straightforward. Anthropic provides the MCP SDK which handles all protocol communication while you implement the specific resources and tools. If you're specifically building for Claude, our Claude MCP server setup guide covers configuration specifics. Before writing your own, check whether a vendor server already exists — the GitHub and AWS servers already cover a large share of common integrations.

Building a simple MCP server typically involves:

1. 1
   Set up the SDK — Install the MCP SDK for your language (TypeScript/Python/Go/Rust are well supported)
2. 2
   Define resources — Specify what data/information Claude can read from your system
3. 3
   Implement tools — Define what actions Claude can perform
4. 4
   Handle security — Validate inputs and enforce permissions
5. 5
   Test and deploy — Test with Claude and deploy to your environment

The MCP ecosystem has hundreds of published servers for inspiration. Many organizations share their implementations as open source, and studying existing servers is an excellent way to learn best practices.

Frequently Asked Questions